Evidence map›Paper›PMID 12836699›Full record

ReviewJournal of structural and functional genomics2003

Maximum likelihood methods for detecting adaptive evolution after gene duplication.

Joseph P Bielawski, Ziheng Yang

Abstract readReview
PubMed
In one paragraph

Review in Journal of structural and functional genomics, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers.

0numbers the graph read from it
0cells of the map it votes in
97citing papers in PubMed
15.6field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

97 citing papers in PubMed, 170 citations in OpenAlex.

  1. Article
  2. Frontiers in plant science · 2026
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  8. Molecular Evolution of clock Genes in Vertebrates.Journal of molecular evolution · 2021
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  9. Article
  10. Article
  11. Adaptive Molecular Evolution ofBioMed research international · 2020
    Article
  12. Article
  13. Article
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  15. Article
  16. Angiosperm-Wide and Family-Level Analyses ofFrontiers in plant science · 2019
    Article
  17. Article
  18. Article
  19. Article
  20. Article

37 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Joseph P BielawskiDepartment of Biology, University College London, Darwin Building, Gower Street, London WCIE 6BT, United Kingdom. j.bielawski@ucl.ac.uk
Ziheng Yang
University College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid accumulation of genomic sequences in public databases will finally allow large scale studies of gene family evolution, including evaluation of the role of positive Darwinian selection following a duplication event. This will be possible because recent statistical methods of comparing synonymous and nonsynonymous substitution rates permit reliable detection of positive selection at individual amino acid sites and along evolutionary lineages. Here, we summarize maximum-likelihood based methods, and present a framework for their application to analysis of gene families. Using these methods, we investigated the role of positive Darwinian selection in the ECP-EDN gene family of primates and the Troponin C gene family of vertebrates. We also comment on the limitations of these methods and discuss directions for further improvements.

Indexed as

Data Interpretation, StatisticalEvolution, MolecularGene DuplicationLikelihood FunctionsAmino Acid SubstitutionAnimalsHumansMarkov ChainsMultigene FamilyPhylogenySelection, GeneticTroponin CTroponin C

Identifiers

PMID12836699
OpenAlexW2107580421

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.